Senior Data Scientist

3 years

0 Lacs

Posted:1 week ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Responsibilities:

  • Research:

    Stay up-to-date with the latest research in NLP/NLU space and work on various problems like topic modeling, machine translation, token classification / NER, semantic understanding and knowledge graph.
  • Design:

    Take ownership for pythonic applications within the team and work independently to ensure its launch, improvement and maintenance and participate in product design discussion and decisions.
  • Implement:

    Enhance current product features and proactively develop new features which have a reasonable value proposition for the end-user and suggest improvement and optimizations in deployed algorithms and implement the same while participating in agile development.
  • Collaborate:

    Partner with product managers to make data driven decisions and help solve problems for end-users as well as other data science teams to establish and follow organizational best practices.
  • Leadership:

    Perform technical reviews and bring overall leadership within the team and provide mentorship and training to junior team members.


Requirements:

  • B.Tech / M.Tech from a top-tier engineering college with a strong mathematical background.
  • 3+ years of experience in Machine learning, 2+ years of experience working with NLP/NLU based technologies.
  • Experience in machine / deep learning frameworks such as TensorFlow, Keras, Pytorch and good knowledge of CNN, RNN/LSTM/GRU, Transformer Models, Transfer Learning, Ensemble Learning as well as classical ML techniques like LDA, SVD and Clustering.
  • Strong Python programming skills and familiarity with back-end development / devops-Flask, uWSGI, MySQL, Celery, Docker will be a plus.
  • Bonus: Prior experience with AWS related services and familiarity with platforms like MLFlow for managing ML lifecycle and experimentation.
  • Strong problem solving skills and readiness to learn new concepts and apply them to find practical solutions to complex problems
  • Ability to work in a fast-paced start up with strict deadlines
  • Reasonable communication and teamwork skills

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